ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Route Selection and Rate Allocation Using Evolutionary Computation Algorithms in Multirate Multicast Networks
Cited 1 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Sun Jin Kim, Mun Kee Choi
Issue Date
2006-11
Citation
Mexican International Conference on Artificial Intelligence (MICAI) 2006 (LNCS 4293), v.4293, pp.426-438
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11925231_40
Abstract
In this paper, we simultaneously address the route selection and rate allocation problem in multirate multicast networks. We propose the evolutionary computation algorithm based on a genetic algorithm for this problem and elaborate upon many of the elements in order to improve solution quality and computational efficiency in applying the proposed methods to the problem. These include: the genetic representation, evaluation function, genetic operators and procedure. Additionally, a new method using an artificial intelligent search technique, called the coevolutionary algorithm, is proposed to achieve better solutions. The results of extensive computational simulations show that the proposed algorithms provide high quality solutions and outperform existing approach. © Springer-Verlag Berlin Heidelberg 2006.
KSP Keywords
Artificial Intelligent, Coevolutionary algorithm, Computational Efficiency, Evaluation Function, Evolutionary Computation(EC), Evolutionary Computation algorithms, Genetic Algorithm, Genetic Operators, Genetic Representation, Intelligent search technique, Route selection